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33 articles for “Plant Classification”

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Research ArticleOpen accessIn the abstractA Vision System Based on Time-of-Flight and RGB Cameras Applied to Robotic Tree Peony Fruit HarvestingJiaming Liu, Dong Zhao, Tianxing Li, Jian ZhaoTree peony is a deciduous shrub endemic to China and the Peony Seed Oil (PSO) is an important plant oil resource. However, at present, fruits harvesting of peony are mainly completed by manual work with low efficiency. In response to the need for a mechanized operation, a multi-sources vision system based on Time-Of-Flight (TOF) and RGB cameras was set up … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 3 · 19 Aug 2020 · 6,329 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Effects and Phytotoxicity of Photo Fenton Solutions and Acid Rains on Cucumber (Cucumis Sativus) Plants: Treats and ConsoleFawzy Eissa, Sayuri Bandai, Nour El-Hoda Zidan et al.The Eco-physiological assessments of variable parameters known to be essential for proper plant growth and health were determined in cucumber plants exposed to short term treatments in 42 days using two broad classification types; Photo Fenton solution generating OH radicals and simulated acids. Solutions containing different classification of scavengers of OH radicals and mannitol were employed as Controls. Results indicated … …American Journal of Environmental Sciences, Vol. 16, Issue 2 · 21 May 2020 · 6,974 accessesView PDFCite
Research ArticleOpen accessIn the abstractMonitoring Land Use and Land Cover Effects on Water Quality in Cheung Ek Lake using ASTER ImagesNara Im, Kensuke Kawamura, Endan Suwandana, Yuji SakunoCheung Ek Lake is the biggest natural treatment plant for nearly 80% of wastewater and storm-water from Phnom Penh city. Land Use and Land Cover (LULC) changes of the lake and its catchment area could deteriorate capacity of the lake in purifying wastewater and affect to its water quality. The study aims to assess the relationship between LULC changes and … …American Journal of Environmental Sciences, Vol. 11, Issue 1 · 3 Apr 2015 · 8,013 accessesView PDFCite
Research ArticleOpen accessIn the abstractFAULT DETECTION IN SWITCHED RELUCTANCE MOTOR DRIVES USING DISCRETE WAVELET TRANSFORM AND K-MEANS CLUSTERINGV. S. Chandrika, A. Ebenezer JeyakumarThis study presents a novel method of detection of inter turn shorts based on k means clustering technique. In addition to inter turn short detection, the other faults like open, short, phase to phase faults and DC volt-age faults are detected through wavelet transforms and k means clustering. Open and short faults are classified using artificial neural network. All other … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 30 Dec 2013 · 7,983 accessesView PDFCite
Research ArticleOpen accessIn the abstractField Assessment of Anthracnose Disease Response for the Sorghum Germplasm Collection from the Mopti RegionJ. E. ErpeldingProblem statement: Sorghum anthracnose (Colletotrichum sublineolum) is a highly variable pathogen and new sources of host plant resistance are required for the development of resistant sorghum varieties. Germplasm collections are an important source of host plant resistance and screening germplasm will be essential to identify new sources of resistance. Approach: The sorghum (Sorghum bicolor) collection from the Mopti region of … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 3 · 30 Sep 2010 · 8,213 accessesView PDFCite
Research ArticleOpen accessIn the abstractVegetation Analysis of Sutan-Chay Basin in ArasbaranT. Ebrahimi Gajoti, V. Haciyev, A. Javanshir et al.Problem statement: Plants associations differ in relation to environmental gradients. Therefore, it is necessary to study the interaction between ecological factors and vegetation. Approach: In this study vegetation and flora of Sutan-Chay Basin in Arasbaran was investigated using Braun Blanquet method as physiognomic floristic. Sampling of soil and vegetation was carried out by selecting areas with homogenous plant compositions. The … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 3 · 30 Sep 2010 · 7,879 accessesView PDFCite
Research ArticleOpen accessIn the abstractHistogram of Intensity Feature Extraction for Automatic Plastic Bottle Recycling System Using Machine VisionSuzaimah Ramli, Mohd Marzuki Mustafa, Aini Hussain, Dzuraidah Abdul WahabCurrently, many recycling activities adopt manual sorting for plastic recycling that relies on plant personnel who visually identify and pick plastic bottles as they travel along the conveyor belt. These bottles are then sorted into the respective containers. Manual sorting may not be a suitable option for recycling facilities of high throughput. It has also been noted that the high … …American Journal of Environmental Sciences, Vol. 4, Issue 6 · 31 Dec 2008 · 7,083 accessesView PDFCite
Research ArticleOpen accessIn the abstractMobility of Heavy Metals in Plants and Soil: A Case Study From A Mining Region in CanadaM. Mehes-Smith, K. K. Nkongolo, R. Narendrula, E. CholewaUnderstanding the dynamic of metals in soil and plantsis essential for ecosystem management and risks assessment of environmental pollution and sustainability.The main objective of the present study is to determine the mobility of Ni, Cu, Fe, Mg and Zn in soil and their translocation in D. cespitosa plants in a mining region in Northern Ontario.The total amount of Cu, Ni, … …American Journal of Environmental Sciences, Vol. 9, Issue 6 · 15 Jan 2014 · 8,677 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAutomating Paddy Crop Disease Classification With Deep Learning ModelsShiva Shankar J, S. Palanivel, S. China VenkateswarluRice is a staple food crop for more than 10 countries. High consumption of rice demands better yield of crop. Timely disease diagnosis in paddy is fundamental to preventing yield losses and ensuring an adequate supply of rice for a rapidly rising worldwide population. Agriculture and modern farming is one of the fields where IoT and automation can have a … …Journal of Computer Science, Vol. 21, Issue 8 · 1 Sep 2025 · 5,696 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Edge Efficient and Lightweight Hybrid CNN Vision Transformer Network With CBAM for IoT Based Plant Disease DetectionNyabeye Pangop Doris-Khöler, Kengni Ngangmo OlgaDetecting crop disease early enough to act on it remains a bottleneck for smallholder and precision farming alike, particularly when diagnosis depends on manual inspection or lab analysis that cannot keep pace with an outbreak. We present AgriViTNet, a compact CNN-Vision Transformer hybrid built for exactly this constraint: It extracts local texture cues through convolution, relates them across the whole … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 578 accessesView PDFCite